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You can't dig in a day. It takes 2000 years

the global unified computing difficulty of bitcoin is 2621404453 (expected to change in two days). It takes more than 2000 years for a 2.5GHz CPU to work out a bitcoin

in order to make the graphics card fully loaded for a long time, the power consumption will be quite high, and the electricity bill will be higher and higher. Many professional mines at home and abroad are operated in areas with extremely low electricity charges, such as hydropower stations, while more users can only mine at home or in ordinary mines, so the electricity charges are not cheap. Even in a certain residential area in Yunnan, there was a case of crazy mining, which led to a large area trip of the residential area, and the transformer was burned

extended data:

bitcoin network generates new bitcoin through "mining". In essence, the so-called "mining" is to use computers to solve a complex mathematical problem to ensure the consistency of bitcoin network distributed accounting system

bitcoin network will automatically adjust the difficulty of mathematical problems, so that the whole network can get a qualified answer about every 10 minutes. Then bitcoin network will generate a certain amount of bitcoin as block reward to reward the person who gets the answer

when bitcoin was born in 2009, block rewards were 50 bitcoins. Ten minutes after its birth, the first 50 bitcoins were generated, and the total amount of money at this time is 50. Then bitcoin grew at a rate of about 50 every 10 minutes. When the total amount reaches 10.5 million (50% of 21 million), the block reward will be halved to 25

when the total amount reaches 15.75 million (5.25 million new output, i.e. 50% of 1050), the block reward will be further halved to 12.5. The monetary system used to have no more than 10.5 million in four years, after which the total number will be permanently limited to about 21 million

CristianoAmon, President of Qualcomm Corp, at the press conference of SnapdragonRide, shows a combination of SoC, accelerator and automatic driving software stack, showing SnapdragonRide (Graphic source CNET/James Martin)

SnapdragonRide, which provides an extensible solution for automobile manufacturers, which can provide support for self driving vehicles in three sub fields, namely

1, L1 / L2 active safety ADAS -- for vehicles with automatic emergency braking, traffic sign recognition and lane keeping assistance

2, L2 + ADAS -- for vehicles that can drive automatically on expressways, support self-service parking, and drive in urban traffic with frequent parking

3, L4 / L5 fully automatic driving -- for automatic driving, unmanned taxi and robot logistics in urban traffic environment

snapdragonride platform is based on a series of different snapdragon SOC and accelerators. It adopts scalable and molar high-performance heterogeneous multi-core CPU, energy-efficient AI and computer vision engine, and GPU

among them, adassoc series and accelerator series adopt heterogeneous computing. At the same time, using the new generation of artificial intelligence engine of Qualcomm, ADAS and SOC can efficiently manage a large amount of data of on-board system

thanks to the combination of these different SOC and accelerators, snapdragonride platform can be equipped according to the needs of different segments of autonomous driving market, and provide good heat dissipation efficiency, from 30tops level equipment for L1 / L2 level applications to 130W power consumption equipment for L4 / L5 level driving with more than 700tops

in addition, the new snapdragonride autopilot software stack is a molar and scalable solution integrated into the snapdragonride platform

according to the introction, the software framework of snapdragonride platform can host customer specific software stack components and snapdragonride autopilot software stack components at the same time

snapdragonride platform also supports passive or air-cooled cooling design, so it can further optimize vehicle design and improve reliability while recing cost

now, arm, blackberry QNX, Infineon, Xinsi technology, elektrobit, and Anson semiconctor have joined the auto driving circle of friends of Qualcomm and become the software / hardware suppliers of snapdragonride auto driving platform

the functional security solutions of arm, the automotive designware interface IP, arc processor IP and starmemory SystemTM of Xinsi technology, the OS Security version and hypervisor Security version of BlackBerry QNX, the aurixtm microcontroller of Infineon, and the ADAS series sensors of Anson semiconctor will be integrated into the automatic driving platform of Qualcomm

elektrobit also plans to cooperate with Qualcomm to jointly develop a new generation AUTOSAR architecture that can be proced on a large scale. Ebcorbos software and snapdragonride autopilot platform will be integrated on this architecture

it is understood that snapdragonride will be delivered to automobile manufacturers and first tier suppliers for preliminary development in the first half of 2020, and according to the estimation of qcomm technologies, the vehicles equipped with snapdragonride will be put into proction in 2023

for more than a decade, Qualcomm technologies, a subsidiary of Qualcomm, has been providing advanced wireless communication solutions for GM's connected vehicle applications, including the security applications supported by the Android devices on GM

in the fields of on-board information processing, information audio-visual and in car Internet, the total value of orders of qcomm technologies has exceeded 7 billion US dollars (about 48.7 billion yuan)

according to the information released by Qualcomm at the ces2020 press conference, so far, more than one million vehicles have used the automotive solutions provided by Qualcomm

it is obvious that today, the layout of Qualcomm in the automotive field has taken another step forward

ring ces2020, in addition to snapdragonride, Qualcomm also launched a new car to cloud service, which is expected to be available in the second half of 2020

according to the introction, the car to cloud service built by Qualcomm technologies supports the soft upgrade capability of softsku chip specifications, which can not only help automobile customers meet the changing needs of consumers, but also enable chipsets to be upgraded in the field to support new functions according to new performance requirements or new features

at the same time, softsku also supports customers to develop common hardware, so as to save their special investment for different development projects. By using the cloud softsku of Qualcomm, automobile manufacturers can not only provide a variety of customized services for consumers, but also create rich and immersive in car experience through personalized features

in addition, the car to cloud service of Qualcomm also supports the global cellular connection function, which can be used to guide the initialization service and provide wireless communication connection throughout the life cycle of the car

in addition, Qualcomm technologies also announced on ces2020 that it will continue to deepen its cooperation with general motors. As a long-term partner, GM will support digital cockpit, on-board information processing and ADAS (advanced driving assistance system) through continuous cooperation with Qualcomm technologies

conclusion: Giants raging like a storm in the field of automatic driving, HUAWEI has said before it wants to build intelligent core sensors for automobile, such as lidar and millimeter wave radar. After that, Arm led the establishment of the automatic driving Computing Alliance. Now the mobile chip giant Qualcomm has released a new automatic driving platform, and has made further progress in the field of automobile and automatic driving. <

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game player is concive to the faster and better landing of autopilot cars, but on the other hand, as more hardcore players expand their business boundaries, competition in the market will become more intense. p>

this article comes from the author of car home, which does not represent the standpoint of car home

On June 6, 2008, Dalian bee hall Technology Development Co., Ltd. provided a venture capital of 1 million yuan to bee house“ This is only the first venture capital. According to the investment mode, the venture capital will continue to be added. "